使用地理距离和其他滤镜组合优化elasticsearch查询

Question

我想对弹性搜索执行查询，如下所示：

  

（cond1）AND（cond2或cond3或cond4或cond5或cond6）

我可以通过使用

创建一个bool过滤器来实现此结果

bool {
    filter {
       bool {
           must [ cond1 ]
           should [ cond2, cond3, cond4, cond5, cond6]
         }
      }
}

但我应用的字段条件是嵌套字段，并在2个括号中共享常见的嵌套祖先。

为了解决这个问题，我将条件转换为产品形式的总和并创建了像这样的过滤器

bool {
    filter {
        bool {
          should{
             bool { must [cond1, cond2] },
             bool { must [cond1, cond3] },
             bool { must [cond1, cond4] },
             bool { must [cond1, cond5] },
             bool { must [cond1, cond6] }
             }
         }
    }

这解决了按预期使条件正确的问题。

但是，如果cond1在地理距离滤波器上，则会导致查询效率非常低，因为弹性搜索不会缓存地理距离滤波器的位集，因此会导致每个文档计算地理距离条件5次。

如何才能使查询更有效？

我的一个疑问是

{
  "bool" : {
    "filter" : {
      "bool" : {
        "should" : [ {
          "bool" : {
            "must" : [ {
              "nested" : {
                "query" : {
                  "geo_distance_range" : {
                    "loc.address.lat_lon" : [ 67.0, -40.9 ],
                    "from" : "0mi",
                    "to" : "100mi",
                    "include_lower" : true,
                    "include_upper" : false,
                    "distance_type" : "plane"
                  }
                },
                "path" : "loc"
              }
            }, {
              "match" : {
                "name" : {
                  "query" : "name",
                  "type" : "boolean"
                }
              }
            } ]
          }
        }, {
          "bool" : {
            "must" : [ {
              "nested" : {
                "query" : {
                  "geo_distance_range" : {
                    "loc.address.lat_lon" : [ 67.0, -40.9 ],
                    "from" : "0mi",
                    "to" : "100mi",
                    "include_lower" : true,
                    "include_upper" : false,
                    "distance_type" : "plane"
                  }
                },
                "path" : "loc"
              }
            }, {
              "match" : {
                "altName" : {
                  "query" : "alt",
                  "type" : "boolean"
                }
              }
            } ]
          }
        }, {
          "bool" : {
            "must" : [ {
              "nested" : {
                "query" : {
                  "geo_distance_range" : {
                    "loc.address.lat_lon" : [ 67.0, -40.9 ],
                    "from" : "0mi",
                    "to" : "100mi",
                    "include_lower" : true,
                    "include_upper" : false,
                    "distance_type" : "plane"
                  }
                },
                "path" : "loc"
              }
            }, {
              "nested" : {
                "query" : {
                  "match" : {
                    "trees.specialty" : {
                      "query" : "specialty"
                    }
                  }
                },
                "path" : "trees"
              }
            } ]
          }
        }, {
          "bool" : {
            "must" : [ {
              "nested" : {
                "query" : {
                  "geo_distance_range" : {
                    "loc.address.lat_lon" : [ 67.0, -40.9 ],
                    "from" : "0mi",
                    "to" : "100mi",
                    "include_lower" : true,
                    "include_upper" : false,
                    "distance_type" : "plane"
                  }
                },
                "path" : "loc"
              }
            }, {
              "nested" : {
                "query" : {
                  "match" : {
                    "trees.group" : {
                      "query" : "group",
                      "type" : "boolean"
                    }
                  }
                },
                "path" : "trees"
              }
            } ]
          }
        }, {
          "nested" : {
            "query" : {
              "bool" : {
                "must" : [ {
                  "geo_distance_range" : {
                    "loc.address.lat_lon" : [ 67.0, -40.9 ],
                    "from" : "0mi",
                    "to" : "100mi",
                    "include_lower" : true,
                    "include_upper" : false,
                    "distance_type" : "plane"
                  }
                }, {
                  "nested" : {
                    "query" : {
                      "match" : {
                        "loc.trees.specialty" : {
                          "query" : "special",
                          "type" : "boolean"
                        }
                      }
                    },
                    "path" : "loc.trees"
                  }
                } ]
              }
            },
            "path" : "loc"
          }
        }, {
          "nested" : {
            "query" : {
              "bool" : {
                "must" : [ {
                  "geo_distance_range" : {
                    "loc.address.lat_lon" : [ 67.0, -40.9 ],
                    "from" : "0mi",
                    "to" : "100mi",
                    "include_lower" : true,
                    "include_upper" : false,
                    "distance_type" : "plane"
                  }
                }, {
                  "nested" : {
                    "query" : {
                      "match" : {
                        "loc.trees.group" : {
                          "query" : "groupA",
                          "type" : "boolean"
                        }
                      }
                    },
                    "path" : "loc.trees"
                  }
                } ]
              }
            },
            "path" : "loc"
          }
        }, {
          "nested" : {
            "query" : {
              "bool" : {
                "must" : [ {
                  "geo_distance_range" : {
                    "loc.address.lat_lon" : [ 67.0, -40.9 ],
                    "from" : "0mi",
                    "to" : "100mi",
                    "include_lower" : true,
                    "include_upper" : false,
                    "distance_type" : "plane"
                  }
                }, {
                  "nested" : {
                    "query" : {
                      "match" : {
                        "loc.forest.trees.specialty" : {
                          "query" : "searchText",
                          "type" : "boolean"
                        }
                      }
                    },
                    "path" : "loc.forest.trees"
                  }
                } ]
              }
            },
            "path" : "loc"
          }
        }, {
          "nested" : {
            "query" : {
              "bool" : {
                "must" : [ {
                  "geo_distance_range" : {
                    "loc.address.lat_lon" : [ 67.0, -40.9 ],
                    "from" : "0mi",
                    "to" : "100mi",
                    "include_lower" : true,
                    "include_upper" : false,
                    "distance_type" : "plane"
                  }
                }, {
                  "nested" : {
                    "query" : {
                      "match" : {
                        "loc.forest.trees.group" : {
                          "query" : "forge",
                          "type" : "boolean"
                        }
                      }
                    },
                    "path" : "loc.forest.trees"
                  }
                } ]
              }
            },
            "path" : "loc"
          }
        } ]
      }
    }
  }
}